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We have 44 remote sensing PhD Projects, Programmes & Scholarships

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remote sensing PhD Projects, Programmes & Scholarships

We have 44 remote sensing PhD Projects, Programmes & Scholarships

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis [SELF-FUNDED STUDENTS ONLY]

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Remote sensing and advanced spectral analysis for coaching and rehabilitation

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group in collaboration with the Exeter Biomechanics Research Team (ExBiRT), University of Exeter. Read more

Advanced Computational Image Analysis for Marine Debris Monitoring via Remote Sensing [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Marine debris and floating plastic pollution are an emerging environmental problem since they pollute the ocean, air and food whilst endangering the ocean wildlife through their ingestion and entanglement. Read more

Crop Type Classification Using Optical Remote Sensing

Crop type mapping at the field level is necessary for a variety of applications in agricultural monitoring and food security. In this thesis, the goal is to develop a suitable deep neural network architecture that could detect different crop types in remote sensing images. Read more

Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. Read more

Faculty of Science, Masaryk University

Embark on an enriching academic journey with our esteemed doctoral degree programs in various scientific fields. Read more

Undercover Mineralisation – Identifying mineral enrichments beneath glacial deposits in northeast Scotland utilising machine learning

The University of Aberdeen is an internationally recognised centre for excellence for research addressing the global challenges of energy transition, environment and biodiversity, social inclusion and cultural diversity, health, nutrition and wellbeing, and data and artificial intelligence. Read more

Evaluating the meaning and distribution of ‘Tree Equity’ in Surrey: An interdisciplinary approach

Having access to trees reduces respiratory illness and improves mental health and well-being (Pataki et al 2021). Tress also provide protection from climate extremes such as flooding and heatwaves (Leets et al 2022). Read more
Last chance to apply

The role of the wind in dispersing and generating plastic pollution

Applications are invited for a 3.5 years PhD studentship within the Environmental Intelligence doctoral training programme at the University of Plymouth. Read more

Multimodal imaging and its applications

Information on this PhD research area can be found further down this page under the details about the Widening Participation Scholarship given immediately below. Read more

Wavelength-flexible, Single-frequency Fibre Lasers

Supervisory Team: Morten Ibsen, Jayanta Sahu. Project Description. Fibre lasers have seen a rapid development in output power and performance over the past three decades and have revolutionised the application space for photonics. Read more

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